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What is Fabric for Deep Learning (FfDL)?

Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have greatly improved the ease with which deep learning models can be designed, trained, and utilized. Fabric for Deep Learning (FfDL, pronounced "fiddle") provides a unified approach for deploying these deep-learning frameworks as a service on Kubernetes, facilitating seamless functionality. The FfDL architecture is constructed using microservices, which reduces the reliance between components, enhances simplicity, and ensures that each component operates in a stateless manner. This architectural choice is advantageous as it allows failures to be contained and promotes independent development, testing, deployment, scaling, and updating of each service. By leveraging Kubernetes' capabilities, FfDL creates an environment that is highly scalable, resilient, and capable of withstanding faults during deep learning operations. Furthermore, the platform includes a robust distribution and orchestration layer that enables efficient processing of extensive datasets across several compute nodes within a reasonable time frame. Consequently, this thorough strategy guarantees that deep learning initiatives can be carried out with both effectiveness and dependability, paving the way for innovative advancements in the field.

What is DeepPy?

DeepPy is a deep learning framework released under the MIT license, aimed at bringing a sense of calm to the deep learning journey. It mainly relies on CUDArray for its computational functions, making it necessary to install CUDArray beforehand. Furthermore, users can choose to install CUDArray without the CUDA back-end, simplifying the installation process considerably. This option can be especially advantageous for those who seek an easier setup, enhancing accessibility for a wider audience. Overall, DeepPy emphasizes ease of use while maintaining powerful deep learning capabilities.

Media

Media

Integrations Supported

Caffe
Kubernetes
PyTorch
TensorFlow
Torch

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/

Company Facts

Organization Name

DeepPy

Company Website

andersbll.github.io/deeppy-website/

Categories and Features

Deep Learning

Not specified

Neural Network

Not specified

Categories and Features

Deep Learning

Not specified

Neural Network

Not specified

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